<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-20T03:08:44Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/123033" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/123033</identifier><datestamp>2026-06-06T00:49:08Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Steven B. Leeb.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Ponce, Eric(Eric A.)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2019-11-22T00:03:29Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2019-11-22T00:03:29Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2019</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2019</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/123033</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1127650122</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 167-171).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Non-intrusive load monitoring (NILM) involves measuring power transfer or resource flow upstream from several independent loads and disaggregating the information into separate loads, trading hardware installation complexity for advanced signal processing. Non-contact NILM devices avoid direct connections to the grid or network, instead leveraging physical properties of the grid or existing meter to extract load information. This thesis presents an improved model for the rotating magnetic field produced by positive displacement water meters, new methods and non-contact hardware for non-intrusively extracting flow from these and bellows-and-diaphragm natural gas meters, and signal processing techniques for reconstructing flow from measured data to enable cheap and easy retrofit of existing metering infrastructure for NILM.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Eric Ponce.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">171 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Non-intrusive load monitoring for existing water and natural gas metering infrastructure</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">NILM for existing water and natural gas metering infrastructure</dim:field>
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   <dim:field mdschema="mit" element="thesis" qualifier="degree" lang="en_US">Master</dim:field>
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   	&lt;Title>Non-intrusive load monitoring for existing water and natural gas metering infrastructure&lt;/Title>
   	&lt;Subtitle>NILM for existing water and natural gas metering infrastructure&lt;/Subtitle>
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   	&lt;PublicationDate>2019&lt;/PublicationDate>
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        	&lt;DisplayName>Ponce, Eric(Eric A.)&lt;/DisplayName>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>Non-intrusive load monitoring (NILM) involves measuring power transfer or resource flow upstream from several independent loads and disaggregating the information into separate loads, trading hardware installation complexity for advanced signal processing. Non-contact NILM devices avoid direct connections to the grid or network, instead leveraging physical properties of the grid or existing meter to extract load information. This thesis presents an improved model for the rotating magnetic field produced by positive displacement water meters, new methods and non-contact hardware for non-intrusively extracting flow from these and bellows-and-diaphragm natural gas meters, and signal processing techniques for reconstructing flow from measured data to enable cheap and easy retrofit of existing metering infrastructure for NILM.&lt;/Abstract>
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